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A non-iterative localization approach based on multi-dimensional scaling method for wireless sensor networks

机译:基于多维缩放比例的无线传感器网络非迭代定位方法

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The location information of the sensor node is very important and should be known by the end user to take full advantage of the sensor network. In this paper, we proposed a non-iterative localization approach for wireless sensor network (WSN) using multi-dimensional scaling (MDS) method. MDS offers various advantages. It is robust to environmental errors, provides accurate localization, and calculates the location of all the sensor nodes in a network at the same time not individually. It also provides the relative locations of the nodes in the absence of anchor nodes.
机译:传感器节点的位置信息非常重要,最终用户应知道以充分利用传感器网络。在本文中,我们提出了一种使用多维缩放(MDS)方法的无线传感器网络(WSN)的非迭代定位方法。 MDS具有各种优势。它对环境错误具有鲁棒性,可以提供准确的定位,并且可以同时(而不是单独)计算网络中所有传感器节点的位置。它还提供了在没有锚节点的情况下节点的相对位置。

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